Profile

Research profile.
My primary research interest is focused on developing novel
pattern recognition algorithms for the characterization of
central features the immune system and different aspects of
protein structure. My research in development of novel pattern
recognition algorithms aims at developing method that can improve
our ability for rational design of vaccines against human and
animal infections likeHIV,
Tuberculosis, Malaria, and
food and mouth disease. The algorithms developed include Gibbs
sampler, artificial neural networks, position specific scoring
matrix (PSSM) construction, sequence clustering, hidden Markov
models, and sequence profile-based alignment methods. As a
central part of my recent research, I have initiated and led the
large initiative put forward by our group in characterizing the
immune system diversity in humans and other primates, as well as
the genomic variation of pathogenic infections. This research has
provided us with new tools that allow for a detailed
understanding of why different humans (and animals) react
different to different pathogen infections. My strong interest
for characterization and development of algorithms used in
bioinformatics has led me to conduct a course specialized in this
area. The course, Algorithm in Bioinformatics (27623) is running
each autumn starting 2008.

Technology for people

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Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today.